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Interactive volume visualization of general polyhedral grids.

Philipp Muigg1, Markus Hadwiger, Helmut Doleisch

  • 1Vienna University of Technology, Austria. muigg@cg.tuwien.ac.at

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|October 29, 2011
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Summary
This summary is machine-generated.

This study introduces a new method for visualizing complex 3D data on polyhedral grids without tetrahedralization. The novel two-sided face sequence lists (TSFSL) data structure and GPU ray-casting enable efficient visualization of large, intricate simulation data.

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Area of Science:

  • Computer Graphics
  • Scientific Visualization
  • Computational Geometry

Background:

  • Volumetric data visualization often relies on tetrahedralization, which is computationally expensive for complex polyhedral grids.
  • Non-convex polyhedra with non-planar faces present significant challenges for existing visualization techniques.
  • The increasing use of complex polyhedral grids in advanced simulation packages necessitates efficient visualization methods.

Purpose of the Study:

  • To present a novel framework for visualizing volumetric data on complex polyhedral grids.
  • To introduce a compact, face-based data structure (TSFSL) for mesh representation.
  • To develop a GPU-based ray-casting algorithm for direct visualization using the TSFSL structure.

Main Methods:

  • Developed a compact, face-based data structure called two-sided face sequence lists (TSFSL) to represent polyhedral mesh topology.
  • Implemented a direct GPU-based ray-casting algorithm utilizing the TSFSL representation for efficient rendering.
  • Employed a mesh decomposition strategy (bricking) to handle large datasets, enabling independent processing of bricks and optimizing memory usage and performance.

Main Results:

  • The TSFSL data structure compactly represents mesh topology in a 1D array, facilitating efficient 1D texture accesses for visualization.
  • The GPU-based ray-casting algorithm achieves direct visualization without prior tetrahedralization.
  • Mesh bricking demonstrates memory savings and performance improvements for large-scale polyhedral datasets.
  • Feasibility validated through visualization of complex, real-world application data from commercial simulation packages.

Conclusions:

  • The proposed framework effectively visualizes volumetric data on complex polyhedral grids, overcoming limitations of traditional methods.
  • The TSFSL data structure and GPU ray-casting offer an efficient and scalable solution for scientific visualization.
  • This approach is suitable for handling highly complex meshes generated by state-of-the-art simulation software.